4 days ago
Remote, PeruSenior
Responsibilities
- Work directly with clients to understand business problems and deliver scalable, production-ready agentic AI solutions.
- Design and implement multi-step agent systems with orchestration, tool and function calling, task decomposition, and multi-agent coordination where appropriate.
- Integrate agents with enterprise systems through APIs, MCP servers, and structured tool contracts.
- Build evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows.
- Instrument systems for traceability and observability across agent actions, model behavior, token and cost usage, latency, and performance.
- Design state and memory management, model routing, retries, idempotency, and other production reliability patterns.
- Deploy AI solutions using Azure and AWS cloud platforms and services.
- Apply software engineering practices involving Python or Java, APIs, containers, source control, automated testing, and CI/CD.
- Collaborate with client engineering and security teams on architecture reviews, threat modeling, security reviews, audits, and enterprise delivery requirements.
- Convert successful client approaches into reusable patterns and solutions for Zeal.
Requirements
- Hands-on experience designing and shipping production agent systems involving tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures.
- Real-world experience evaluating agent behavior and building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and failure-mitigation mechanisms.
- Deep hands-on experience with Azure or AWS and related AI and infrastructure services.
- Strong proficiency in Python or Java, API design, containers, automated testing, source control, and CI/CD.
- Sufficient machine learning knowledge to assess when traditional machine learning or deterministic approaches are more appropriate than LLM-based solutions.
- Experience delivering software in large organizations with requirements involving role-based access, data isolation, security reviews, compliance, change control, and production governance.
- Experience with agent traceability, state and memory management, model routing, latency and cost visibility, retries, idempotency, and related operational concerns.
- Excellent verbal and written communication skills, technical judgment, problem-solving ability, and interest in consulting.
- Helpful but not required: MCP, emerging tool-interoperability standards, RAGAS or other evaluation frameworks, fine-tuning, model distillation or optimization, and experience in financial services, insurance, healthcare, or manufacturing.
Benefits
- Role available across the primary LATAM hub in Peru.
- Consulting opportunity with Fortune 1000 companies across industries and technical stacks.
- Values-driven workplace emphasizing kindness, mutual trust, integrity, and egoless collaboration.
- Hiring process may include a preliminary phone interview, video interviews, and a take-home exercise with up to one week to complete.
Tech Stack
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